The inventory centralization impacts on sustainability of the blood supply chain

This paper studies the significance of inventory centralization at the second echelon of a two-echelon supply chain with perishable items when the agents of the second echelon use an ( S − 1, S) inventory policy. The replenishment at the first echelon is considered to be stochastic. The context in which the studied problem exists is in the blood supply network where the first echelon includes a single blood bank that receives stochastic supply from donors. The second echelon contains hospitals receiving external demands (transfusions). In our proposed structure, some of the hospitals in close proximity of each other maintain centralized inventories to serve their demands in addition to the demands by other neighbour hospitals. The results demonstrate that centralization of hospitals’ inventory is a key factor in the blood supply chain and can increase the sustainability and resilient of the blood supply chain. Using numerical study, it was observed that reducing the number of hospitals that hold inventory from 7 to 3 decreases out date and shortage in the supply chain by 21% and 40% respectively. 2016 Elsevier Ltd. All rights reserved.

APPLICATION OF AN IMPUTATION METHOD FOR GEOSPATIAL INVENTORY OF FOREST STRUCTURAL ATTRIBUTES ACROSS MULTIPLE SPATIAL SCALES IN THE LAKE STATES, U.S.A.

Credible spatial information characterizing the structure and site quality of forests is critical to sustainable forest management and planning, especially given the increasing demands and threats to forest products and services. Forest managers and planners are required to evaluate forest conditions over a broad range of scales, contingent on operational or reporting requirements. Traditionally, forest inventory estimates are generated via a design-based approach that involves generalizing sample plot measurements to characterize an unknown population across a larger area of interest. However, field plot measurements are costly and as a consequence spatial coverage is limited. Remote sensing technologies have shown remarkable success in augmenting limited sample plot data to generate stand- and landscape-level spatial predictions of forest inventory attributes. Further enhancement of forest inventory approaches that couple field measurements with cutting edge remotely sensed and geospatial datasets are essential to sustainable forest management. We evaluated a novel Random Forest based k Nearest Neighbors (RF-kNN) imputation approach to couple remote sensing and geospatial data with field inventory collected by different sampling methods to generate forest inventory information across large spatial extents. The forest inventory data collected by the FIA program of US Forest Service was integrated with optical remote sensing and other geospatial datasets to produce biomass distribution maps for a part of the Lake States and species-specific site index maps for the entire Lake State. Targeting small-area application of the state-of-art remote sensing, LiDAR (light detection and ranging) data was integrated with the field data collected by an inexpensive method, called variable plot sampling, in the Ford Forest of Michigan Tech to derive standing volume map in a cost-effective way. The outputs of the RF-kNN imputation were compared with independent validation datasets and extant map products based on different sampling and modeling strategies. The RF-kNN modeling approach was found to be very effective, especially for large-area estimation, and produced results statistically equivalent to the field observations or the estimates derived from secondary data sources. The models are useful to resource managers for operational and strategic purposes.

The posttraumatic growth inventory: Factor structure and invariance in a sample ofbreast cancer patients and in a non-clinical sample

The Posttraumatic Growth Inventory (PTGI) is frequently used to assess positive changes following a traumatic event. The aim of the study is to examine the factor structure and the latent mean invariance of PTGI. A sample of 205 (M age = 54.3, SD = 10.1) women diagnosed with breast cancer and 456 (M age = 34.9, SD = 12.5) adults who had experienced a range of adverse life events were recruited to complete the PTGI and a socio-demographic questionnaire. We use Confirmatory Factor Analysis (CFA) to test the factor-structure and multi-sample CFA to examine the invariance of the PTGI between the two groups. The goodness of fit for the five-factor model is satisfactory for breast cancer sample (χ2(175) = 396.265; CFI = .884; NIF = .813; RMSEA [90% CI] = .079 [.068, .089]), and good for non-clinical sample (χ2(172) = 574.329; CFI = .931; NIF = .905; RMSEA [90% CI] = .072 [.065, .078]). The results of multi-sample CFA show that the model fit indices of the unconstrained model are equal but the model that uses constrained factor loadings is not invariant across groups. The findings provide support for the original five-factor structure and for the multidimensional nature of posttraumatic growth (PTG). Regarding invariance between both samples, the factor structure of PTGI and other parameters (i.e., factor loadings, variances, and co-variances) are not invariant across the sample of breast cancer patients and the non-clinical sample.

Metacognitive awareness inventory (MAI): Adaptação e validação da versão portuguesa

O Metacognitive Awareness Inventory (MAI) de Schraw e Dennison (1994) avalia duas dimensões metacognitivas de natureza geral nos adolescentes e adultos: o conhecimento da cognição, que inclui três subprocessos, e a regulação da cognição, que compreende cinco subprocessos. Neste estudo apresenta-se o processo de tradução e de adaptação do MAI à população portuguesa. A consistência interna nas dimensões conhecimento e regulação da cognição foi 0,82 e 0,90, respetivamente. Os resultados da Análise Fatorial Confirmatória sugerem um fator de segunda ordem com base na correlação dos resultados nas duas dimensões. A subescala conhecimento declarativo apresentou melhor validade relativa ao critério comparativamente com as demais subescalas. O MAI constitui-se um instrumento adaptado à realidade portuguesa, tanto para a avaliação da metacognição no global, como nas suas dimensões principais, permitindo apoiar a investigação relativa ao rendimento em processos de aprendizagem e formação na população adulta e de adolescentes.

Moral reasoning in sport: validation of the Portuguese version of the RSBH value-judgement inventory in adolescents

The purpose of this study was to examine the validity and reliability of the Portuguese version of the Rudd Stoll Beller Hahm Value-judgement Inventory (RSBHVI) in a sample of adolescents. The RSBHVI, which measures moral and social reasoning, was translated using a back translation method. A sample of 238 10th to 12th grade high school students (age mean value 16.93 years, s = 1.34) completed the Portuguese versions of RSBH, and the Task and Ego-orientation Questionnaire. Partial support for the original structure of the moral reasoning scale, but not the social reasoning scale, was found. Females, and non-athletes and individual sport athletes scored significantly higher than males and team sport athletes in moral reasoning, respectively. Moral reasoning was negatively correlated with ego-orientation (r = −30; p <. 001) and uncorrelated with task-orientation (r = .10, p > .05). Participants who were low-ego scored higher in moral reasoning than those who were high-ego. It is suggested that decreasing levels of ego-orientation may be necessary to improve athletes’ moral reasoning.

2010 Iowa Greenhouse Gas Inventory Report

This policy-neutral report is the fifth statewide greenhouse gas inventory as required by Iowa Code 455B.104.

2011 Iowa Statewide Greenhouse Gas Emissions Inventory Report

This policy-neutral report is the sixth statewide greenhouse gas inventory conducted for Iowa as required by Iowa Code 455B.104.

2011 Iowa Statewide Greenhouse Gas Emissions Inventory Report - Technical Support Document

This Technical Support Document is an addendum to the "2011 Iowa Statewide Greenhouse Gas Emission Inventory Report".

2012 Iowa Statewide Greenhouse Gas Emissions Inventory Report

This policy-neutral report is the seventh statewide greenhouse gas inventory conducted for Iowa as required by Iowa Code 455B.104. Note: This report was amended on 12/11/14 to correct minor typographical errors.

2012 Iowa Statewide Greenhouse Gas Emissions Inventory Report Technical Support Document

This technical support document is an addendum to the 2012 Iowa Statewide Greenhouse Gas Emissions Inventory Report. Note: This report was amended on 12/11/14 to correct minor typographical errors.

2013 Iowa Statewide Greenhouse Gas Emissions Inventory Report

This policy-neutral report is the eighth statewide greenhouse gas inventory conducted for Iowa as required by Iowa Code 455B.104.

2013 Iowa Statewide Greenhouse Gas Emissions Inventory Report Technical Support Document.

This technical support document is an addendum to the 2013 Iowa Statewide Greenhouse Ga Emissions Inventory.

Improving the Asset Inventory Process

The South Carolina Department of Education (SCDE) is required by the State of South Carolina to provide an accurate physical count of all Capitalized assets listed on their inventory by the end of the fiscal year. There were no published procedures for employees to follow as guidelines for identifying, tracking, reporting and disposing of assets. This has led to errors in identifying items that require asset numbers, completing the shopping carts and transfer/disposal of assets. These errors cause additional work for the Asset Accountant, Procurement Analyst and Accounts Payable Supervisor. The scope of this project is to improve the fixed asset process by developing and publishing asset inventory procedures to ensure accountability and accuracy of all item listed on SCDE inventory.